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Towards Reducing Diagnostic Errors with Interpretable Risk Prediction.

, , , , , , and . NAACL-HLT, page 7193-7210. Association for Computational Linguistics, (2024)

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Query-Focused EHR Summarization to Aid Imaging Diagnosis., , , , , and . MLHC, volume 126 of Proceedings of Machine Learning Research, page 632-659. PMLR, (2020)A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification., and . CoRR, (2015)Active learning for biomedical citation screening., , , and . KDD, page 173-182. ACM, (2010)Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study., , , , , and . BMC Medical Informatics Decis. Mak., 19 (1): 96:1-96:12 (2019)Learning Disentangled Representations of Texts with Application to Biomedical Abstracts., , , , and . EMNLP, page 4683-4693. Association for Computational Linguistics, (2018)Trialstreamer: Mapping and Browsing Medical Evidence in Real-Time., , , and . ACL (demo), page 63-69. Association for Computational Linguistics, (2020)Automated Metrics for Medical Multi-Document Summarization Disagree with Human Evaluations., , , , , , and . ACL (1), page 9871-9889. Association for Computational Linguistics, (2023)Sparse, Contextually Informed Models for Irony Detection: Exploiting User Communities, Entities and Sentiment., , and . ACL (1), page 1035-1044. The Association for Computer Linguistics, (2015)Computational irony: A survey and new perspectives.. Artif. Intell. Rev., 43 (4): 467-483 (2015)A Neural Candidate-Selector Architecture for Automatic Structured Clinical Text Annotation., , , , and . CIKM, page 1519-1528. ACM, (2017)